User tintinthong

9 votes

1 answer

17k views

What is an orthogonal design?

asked Aug 8, 2016 at 15:00

17 votes

1 answer

16k views

Bootstrap filter/ Particle filter algorithm(Understanding)

asked Sep 28, 2016 at 23:38

3 votes

1 answer

2k views

Likelihood in bayes and likelihood function

asked Sep 30, 2016 at 18:44

2 votes

1 answer

1k views

Particle Filter: Confidence Intervals

asked Mar 31, 2017 at 18:40

2 votes

1 answer

1k views

Particle Degeneracy: Variance of the weights

asked Mar 29, 2017 at 22:17

2 votes

1 answer

963 views

What are the advantages of using linear least squares ANOVA?

asked Aug 9, 2016 at 20:45

2 votes

0 answers

812 views

Compute Variance of MSE Estimate

asked Mar 22, 2017 at 23:31

2 votes

1 answer

648 views

Sampling from Likelihood: Likelihood Particle Filter

asked Feb 24, 2017 at 15:44

1 vote

1 answer

644 views

Empirical Covariance for Set of Particles and Weights

asked Feb 27, 2017 at 22:44

2 votes

0 answers

283 views

Computing Monte Carlo Error: Particle Filters

asked Mar 21, 2017 at 16:16

1 vote

1 answer

219 views

aov() command reading formula

asked Jul 15, 2016 at 10:32

2 votes

0 answers

165 views

Why different coding gives the same sums of square?

asked Aug 17, 2016 at 15:05

2 votes

1 answer

151 views

Exact Particle Filtering Derivation

asked Feb 10, 2017 at 13:01

2 votes

0 answers

151 views

Metropolis Hastings: What motivates the use of Metropolis-Hastings?

asked Mar 3, 2017 at 17:21

2 votes

1 answer

150 views

What is $Q^Ty$ in linear least squares?

asked Aug 10, 2016 at 23:48

2 votes

0 answers

122 views

Sequential Monte Carlo: Joint Smoothing vs Filtering

asked Apr 2, 2017 at 0:46

1 vote

0 answers

87 views

What is the definition of balance for ANCOVA designs?

asked Aug 16, 2016 at 22:03

3 votes

0 answers

70 views

Soft Question: What background do I need to understand Feynmann Kac Formulae by Pierre Del Moral?

asked Apr 20, 2018 at 23:30

1 vote

0 answers

66 views

How does R decide which parameters are inside the intercept for dummy coding?

asked Aug 22, 2016 at 15:49

1 vote

0 answers

63 views

Does sums of squares make sense if unestimable coefficients

asked Aug 21, 2016 at 0:07

2 votes

1 answer

52 views

Bayesian: Joint Smoothing Recursion

asked Mar 27, 2017 at 22:48

2 votes

1 answer

46 views

Doucet Notation- d in expectation estimate

asked Dec 31, 2016 at 8:44

1 vote

1 answer

46 views

What is wrong with this design?

asked Aug 9, 2016 at 15:06

Stack Exchange Network

23 Questions

What is an orthogonal design?

Bootstrap filter/ Particle filter algorithm(Understanding)

Likelihood in bayes and likelihood function

Particle Filter: Confidence Intervals

Particle Degeneracy: Variance of the weights

What are the advantages of using linear least squares ANOVA?

Compute Variance of MSE Estimate

Sampling from Likelihood: Likelihood Particle Filter

Empirical Covariance for Set of Particles and Weights

Computing Monte Carlo Error: Particle Filters

aov() command reading formula

Why different coding gives the same sums of square?

Exact Particle Filtering Derivation

Metropolis Hastings: What motivates the use of Metropolis-Hastings?

What is $Q^Ty$ in linear least squares?

Sequential Monte Carlo: Joint Smoothing vs Filtering

What is the definition of balance for ANCOVA designs?

Soft Question: What background do I need to understand Feynmann Kac Formulae by Pierre Del Moral?

How does R decide which parameters are inside the intercept for dummy coding?

Does sums of squares make sense if unestimable coefficients

Bayesian: Joint Smoothing Recursion

Doucet Notation- d in expectation estimate

What is wrong with this design?